
==================================================================================
Goel, A., Vidal, T., & Kok, A. L. (2019). 
To team up or not – Single versus team driving in European road freight transport.
Supplementary material: Detailed results on each instance and configuration
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Each folder corresponds to a service time level for team drivers:
• 100% of the service time of a single driver
• 75% of the service time of a single driver
• 50% of the service time of a single driver

Inside each folder:
• OnlySingle:      Results with single drivers only
• OnlyTeams:       Results with teams only
• Optimized:       Results considering a mix of single drivers and teams (crew optimization)

In each file, the first set of columns describe the dataset and problem parameters:
• Instance:        Identifier of the dataset/instance
• Seed:            Random seed used in the experiments
• DriverWages:     Driver wages (euros, per day)
• TruckRental:     Truck rental cost (euros, per day)
• MileageCost:     Mileage costs (euros, per mile)
• DrivingSpeed:    Speed (km/h)

Then, the next columns give some statistics on the solutions:
• DrivingTime:     Total distance driven by the trucks
• Cost:            Total cost of the solution
• NbRoutes:        Number of routes in the solution
• NbDrivers:       Number of drivers in the solution
• Time:            Computational time (in milliseconds)
• CostMiles:       Mileage costs (part of the total cost)
• CostTruck:       Truck rental costs (part of the total cost)
• CostDrivers:     Drivers costs (part of the total cost)
• Days:            Total duration (in days) of all routes
• DriverDays:      Total driver days in all routes
• NbDriversPeriod: 	Average number of drivers per route
• TwTightness:     	Average size of the time-windows (relative to the planning horizon)
• FracTWUnconstrained: 	Percentage of customers without time-window constraint
• CapacityTightness: 	Average utilization rate of the vehicle capacity in the solution


